首页
探索
nav.journalClub
趋势
更多
synapse
⌘+K
语言
简体中文
简体中文
Artificial neural network approach for optimizing X-ray shielding by leveraging the photoelectric absorption edge | Synapse
March 3, 2026
Artificial neural network approach for optimizing X-ray shielding by leveraging the photoelectric absorption edge
MA
M.R. Alipoor
Imam Hossein University
ME
M. Eshghi
Imam Hossein University
Key Points
Optimization results indicate significant improvements in x-ray shielding effectiveness, enhancing radiation safety.
The artificial neural network approach yields a 30% increase in shielding efficiency compared to traditional methods.
Data analysis employs an artificial neural network model to assess various shielding materials and configurations.
Findings highlight potential applications in healthcare and industrial settings, indicating enhanced safety measures.
问 AI
Mark Helpful
Like
Save
Bookmark
Relay
Share
Cite This Study
Copy
Alipoor et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c29c6e9836116a24b45
https://doi.org/https://doi.org/10.1016/j.anucene.2026.112142
问 AI
Mark Helpful
Like
Save
Bookmark
Relay
Share